{"id":11653,"date":"2020-02-13T15:06:10","date_gmt":"2020-02-13T09:36:10","guid":{"rendered":"https:\/\/www.mygreatlearning.com\/blog\/intra-cloud-devops-using-azure-bot\/"},"modified":"2024-09-03T11:12:57","modified_gmt":"2024-09-03T05:42:57","slug":"intra-cloud-devops-using-azure-bot","status":"publish","type":"post","link":"https:\/\/www.mygreatlearning.com\/blog\/intra-cloud-devops-using-azure-bot\/","title":{"rendered":"Intra Cloud DevOps using Azure Bot - Capstone Project"},"content":{"rendered":"\n

Problem Statement<\/strong><\/h2>\n\n\n\n

Organisations with multiple cloud platforms and On-premise environments have challenges in managing DevOps activities from a centralised application with an intuitive user interface. They had to rely on the admins of the respective environments to execute any manual build, deployment, or get status reports on DevOps activities.<\/p>\n\n\n\n

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Proposed Solution<\/strong><\/h2>\n\n\n\n

The proposal is to build an Intra-cloud application which interacts with different cloud\/on-premise environments which enables the development team to manage the DevOps activities. The solution will offer a cognitive Azure Bot application to:<\/p>\n\n\n\n

1. Select the Build and Deployment Environment<\/strong><\/h3>\n\n\n\n

Choose the environment for the manual build and deployment. The following environments are in scope:<\/p>\n\n\n\n

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  1. Azure<\/li>\n\n\n\n
  2. AWS<\/li>\n\n\n\n
  3. On-premise<\/li>\n<\/ol>\n\n\n\n

    2. Build and Package the Application<\/strong><\/h3>\n\n\n\n

    List the applications which are available to build. Select the option and build the latest codebase for the selected option. Package using the build specification. Give the status as a response to the user.<\/p>\n\n\n\n

    3. Build and Deploy the Application<\/strong><\/h3>\n\n\n\n

    Build and deploy the latest code base for the given application. Provide the deployment details and status as response back to the user.<\/p>\n\n\n\n

    4. Analytics and Reporting<\/strong><\/h3>\n\n\n\n

    Reporting of the build and deployment statistics to the end-user. Available as a downloadable file.<\/p>\n\n\n

    \"\"<\/figure>\n\n\n\n

    This solution with Azure Chatbot powered by Language understanding capability offered by LUIS would enable the users to take real-time and pre-emptive decisions to perform manual build and deployment DevOps activities in these environments.<\/p>\n\n\n\n

    Architecture:<\/strong><\/h2>\n\n\n\n

    The proposed template of the solution and the application architecture for the Chatbot application would look as shown in the below diagram.<\/p>\n\n\n

    \"\"<\/figure>\n\n\n\n

    The various components of the architecture in the diagram above have been explained briefly below:<\/p>\n\n\n\n

    Azure Platform<\/strong><\/h3>\n\n\n\n

    Azure DevOps<\/gwmw>:<\/span><\/h4>\n\n\n\n

    Azure build Pipeline is setup in Azure DevOps. .Net and PHP applications are set up in the build and deployment pipeline.<\/p>\n\n\n\n

    Azure Functions:<\/span><\/h4>\n\n\n\n

    Microservices are built using .Net Core Azure Function templates. To access the build, deployment and status reports.<\/p>\n\n\n\n

    Key Vaults:<\/span><\/h4>\n\n\n\n

    This service stores secure data like Azure credentials and personal access tokens to call the pipeline rest API.<\/p>\n\n\n\n

    AWS Platform<\/strong><\/h3>\n\n\n\n

    Amazon API Gateway:<\/span><\/h4>\n\n\n\n

    Secure Rest API created for AWS DevOps tasks are deployed in API Gateway. It acts as a single point of entry for the defined group of microservices.<\/p>\n\n\n\n

    AWS Elastic Beanstalk:<\/span><\/h4>\n\n\n\n

    Elastic Beanstalk is used to deploy and manage web applications built on multiple technologies like Java and PHP. AWS Elastic Beanstalk is an orchestration service offered by Amazon Web Services for deploying applications which orchestrate various AWS services, including EC2, S3, Simple Notification Service, CloudWatch, autoscaling, and Elastic Load Balancers.<\/p>\n\n\n\n

    S3 Bucket:<\/span><\/h4>\n\n\n\n

    Source provider for the build packages for the pipeline. After the generation of the build package, it is saved in the destination S3 bucket location. <\/p>\n\n\n\n

    AWS Lambda:<\/span><\/h4>\n\n\n\n

    Microservices are built using AWS Lambda functions. .Net Core serverless applications are built using the AWS SDK. This service interfaces with AWS CodePipeline, Code Build, and Code Deploy API services.<\/p>\n\n\n\n

    IAM:<\/span><\/h4>\n\n\n\n